20 search results - page 3 / 4 » Semi-Supervised Classification Using Linear Neighborhood Pro... |
IH
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. We compare two image bases with respect to their capabilities for image modeling and steganalysis. The first basis consists of wavelets, the second is a Laplacian pyramid...
CVPR
2009
IEEE
15 years 17 days ago
2009
IEEE
Graph-based methods form a main category of semisupervised
learning, offering flexibility and easy implementation
in many applications. However, the performance of
these methods...
NIPS
2001
13 years 6 months ago
2001
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
SENSYS
2009
ACM
14 years 3 days ago
2009
ACM
Wireless sensor networks have been proposed for many location-dependent applications. In such applications, the requirement of low system cost prohibits many range-based methods f...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...